fKunstner / limitations-empirical-fisherLinks
Limitations of the Empirical Fisher Approximation
☆49Updated 8 months ago
Alternatives and similar repositories for limitations-empirical-fisher
Users that are interested in limitations-empirical-fisher are comparing it to the libraries listed below
Sorting:
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆148Updated 2 years ago
- Natural Gradient, Variational Inference☆29Updated 5 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆141Updated 6 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆85Updated 5 years ago
- Convolutional Neural Tangent Kernel☆112Updated 6 years ago
- Hypergradient descent☆147Updated last year
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- A tensorflow implementation of the NIPS 2018 paper "Variational Inference with Tail-adaptive f-Divergence"☆21Updated 6 years ago
- ☆171Updated last year
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- ☆54Updated last year
- Optimization with orthogonal constraints and on general manifolds☆131Updated 5 years ago
- Sample code for running deterministic variational inference to train Bayesian neural networks☆100Updated 7 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆34Updated 2 years ago
- ☆36Updated 4 years ago
- Probabilistic line search algorithm for stochastic optimization with a TensorFlow interface.☆22Updated 8 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆33Updated 5 years ago
- Lua implementation of Entropy-SGD☆81Updated 7 years ago
- Code release for the ICLR paper☆21Updated 7 years ago
- Scalable Training of Inference Networks for Gaussian-Process Models, ICML 2019☆42Updated 2 years ago
- ☆67Updated 6 years ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 5 years ago
- ☆30Updated 5 years ago